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8 projects in result set.
0. Benchmarking genomic data integration - Comparison pipeline for multi-platform data integration algorithms for functional genomics studies. Provides tools to compare performance between publicly available implementations |
- Development Status : 4 - Beta [Filter]
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- Topic : Bioinformatics [Filter]
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Registered: 2011-02-02 00:51 |
1. Corbi - A collection of bioinformatics tools for general purposes such as network query, protein structure alignment, gene expression analysis. |
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Registered: 2011-09-26 05:04 |
2. l2boost - Efficient boosting method using the l2-loss function with gradient descent along coordinate direction basis functions for linear regression. |
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- Programming Language : R [Filter]
- Topic : Machine Learning : Boosting [Filter]
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Registered: 2012-05-01 11:39 |
3. Conditional Random Fields - This project provides a set of tools for conditional random fields tasks such as decoding/inference/sampling/training. |
- Development Status : 4 - Beta [Filter]
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- Topic : Graphical Models [Filter]
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Registered: 2010-12-28 07:13 |
4. Probability - This package is for performing elementary probability on finite sample spaces, represented by data frames or lists. Functionality includes setting up sample spaces, set algebra, probability and conditional probability, characteristic functions, and more. |
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Registered: 2008-01-09 17:16 |
5. Species Distribution Modelling - sdm is an extendable framework to develop species distributions models using individual and community-based approaches, generate ensembles of models, evaluate the models, and predict species potential distributions in space and time. |
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- Topic : Spatial Data & Statistics : Ecological Analysis [Filter]
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Registered: 2014-05-26 16:09 |
6. Probability distributions - Provide a handbook on probability distributions with plenty of code example for plotting, fitting and/or using probability distributions. |
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- Topic : Econometrics [Filter]
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Registered: 2009-02-14 11:04 |
7. splinesurv - A package containing utilities for nonparametric Bayesian analysis of clustered survival data. The baseline hazard function and frailty density are modeled using penalized B-splines. Regression and spline parameters are estimated via MCMC. |
- Development Status : 4 - Beta [Filter]
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- Topic : Bayesian Statistics : Specific Model Fitting [Filter]
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- Topic : Regression Models [Filter]
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Registered: 2008-01-08 16:50 |